3 Using a Cloud Computing Environment to Process Large 3D Spatial Datasets
Ramanathan Sugumaran, Jeffrey Burnett, and Marc P. Armstrong
3.1 Introduction
3.1.1 Big Spatial Data
Big data is a term in widespread use and refers to datasets that have grown so large that they become difficult to store, manage, share, analyze, and visualize using typical database software tools (White, 2012). According to IBM (2012), big data span four dimensions: volume (data quantity), velocity (real-time processing), variety (multiple sources), and veracity (data accuracy). The tremendous growth of big data during the past few decades is largely a consequence of the increased capacity and plummeting costs associated with computing ...
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